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Gold standard datasets for evaluating word sense disambiguation programs

✍ Scribed by Adam Kilgarriff


Book ID
102565971
Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
138 KB
Volume
12
Category
Article
ISSN
0885-2308

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✦ Synopsis


There are now many computer programs for automatically determining the sense in which a word is being used. One would like to be able to say which are better, which worse, and also which words, or varieties of language, present particular problems to which algorithms. An evaluation exercise is required, and such an exercise requires a "gold standard" dataset of correct answers. Producing this proves to be a difficult and challenging task. In this paper I discuss the background, challenges and strategies, and present a detailed methodology for ensuring that the gold standard is not fool's gold.


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